RAGLAB
[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
Compare and develop new algorithms for enhancing AI's ability to generate responses based on retrieved information.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
RAGLAB has 312 stars on GitHub. It has been forked 35 times. RAGLAB is written mainly in Python. It has been in active development since 2024. RAGLAB is available under the MIT license. Its main topics are fair-comparison, llm, rag, retrieval-augmented-generation.
What is RAGLAB?
[EMNLP 2024: Demo Oral] RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
Is RAGLAB open source?
RAGLAB is an open-source project. It is released under the MIT license.
Is RAGLAB free?
Yes. RAGLAB is free and open source — you can use, modify and self-host it.
What license does RAGLAB use?
RAGLAB is available under the MIT license.
What language is RAGLAB written in?
RAGLAB is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/fate-ubw-raglab.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.